Automatic Speech Recognition
Transformers
PyTorch
JAX
German
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use marcel/wav2vec2-large-xlsr-53-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcel/wav2vec2-large-xlsr-53-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marcel/wav2vec2-large-xlsr-53-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marcel/wav2vec2-large-xlsr-53-german") model = AutoModelForCTC.from_pretrained("marcel/wav2vec2-large-xlsr-53-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 960b0ce6cabb2cc02f46f63f39d5321bd2dae5202a45ba6af652a4e84ac609bc
- Size of remote file:
- 2.35 kB
- SHA256:
- d2f7a2ddf41246ad0cbcd373df0ff8f1dc4300c370d379996d9428542d8e4a12
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